Literature DB >> 30970335

PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.

Ilya Kolb1, Corey R Landry, Mighten C Yip, Colby F Lewallen, William A Stoy, John Lee, Amanda Felouzis, Bo Yang, Edward S Boyden, Christopher J Rozell, Craig R Forest.   

Abstract

OBJECTIVE: Intracellular patch-clamp electrophysiology, one of the most ubiquitous, high-fidelity techniques in biophysics, remains laborious and low-throughput. While previous efforts have succeeded at automating some steps of the technique, here we demonstrate a robotic 'PatcherBot' system that can perform many patch-clamp recordings sequentially, fully unattended. APPROACH: Comprehensive automation is accomplished by outfitting the robot with machine vision, and cleaning pipettes instead of manually exchanging them. MAIN
RESULTS: the PatcherBot can obtain data at a rate of 16 cells per hour and work with no human intervention for up to 3 h. We demonstrate the broad applicability and scalability of this system by performing hundreds of recordings in tissue culture cells and mouse brain slices with no human supervision. Using the PatcherBot, we also discovered that pipette cleaning can be improved by a factor of three. SIGNIFICANCE: The system is potentially transformative for applications that depend on many high-quality measurements of single cells, such as drug screening, protein functional characterization, and multimodal cell type investigations.

Entities:  

Year:  2019        PMID: 30970335     DOI: 10.1088/1741-2552/ab1834

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  10 in total

1.  High-yield, automated intracellular electrophysiology in retinal pigment epithelia.

Authors:  Colby F Lewallen; Qin Wan; Arvydas Maminishkis; William Stoy; Ilya Kolb; Nathan Hotaling; Kapil Bharti; Craig R Forest
Journal:  J Neurosci Methods       Date:  2019-09-25       Impact factor: 2.390

2.  Method for Rapid Enzymatic Cleaning for Reuse of Patch Clamp Pipettes: Increasing Throughput by Eliminating Manual Pipette Replacement between Patch Clamp Attempts.

Authors:  Corey R Landry; Mighten C Yip; Ilya Kolb; William A Stoy; Mercedes M Gonzalez; Craig R Forest
Journal:  Bio Protoc       Date:  2021-07-20

3.  Single neuron recording: progress towards high-throughput analysis.

Authors:  Andrew Alegria; Amey Joshi; Jacob O'Brien; Suhasa B Kodandaramaiah
Journal:  Bioelectron Med (Lond)       Date:  2020-09-17

4.  Automated Intracellular Pharmacological Electrophysiology for Ligand-Gated Ionotropic Receptor and Pharmacology Screening.

Authors:  Riley E Perszyk; Mighten C Yip; Ona L McConnell; Eric T Wang; Andrew Jenkins; Stephen F Traynelis; Craig R Forest
Journal:  Mol Pharmacol       Date:  2021-05-06       Impact factor: 4.054

5.  Compensation of physiological motion enables high-yield whole-cell recording in vivo.

Authors:  William M Stoy; Bo Yang; Ali Kight; Nathaniel C Wright; Peter Y Borden; Garrett B Stanley; Craig R Forest
Journal:  J Neurosci Methods       Date:  2020-11-23       Impact factor: 2.987

6.  Automatic deep learning-driven label-free image-guided patch clamp system.

Authors:  Krisztian Koos; Gáspár Oláh; Tamas Balassa; Norbert Mihut; Márton Rózsa; Attila Ozsvár; Ervin Tasnadi; Pál Barzó; Nóra Faragó; László Puskás; Gábor Molnár; József Molnár; Gábor Tamás; Peter Horvath
Journal:  Nat Commun       Date:  2021-02-10       Impact factor: 14.919

7.  Deep learning-based real-time detection of neurons in brain slices for in vitro physiology.

Authors:  Mighten C Yip; Mercedes M Gonzalez; Christopher R Valenta; Matthew J M Rowan; Craig R Forest
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

8.  Biophysical characterization of light-gated ion channels using planar automated patch clamp.

Authors:  Elena G Govorunova; Oleg A Sineshchekov; Leonid S Brown; John L Spudich
Journal:  Front Mol Neurosci       Date:  2022-08-09       Impact factor: 6.261

9.  High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp.

Authors:  Yangfan Peng; Franz Xaver Mittermaier; Henrike Planert; Ulf Christoph Schneider; Henrik Alle; Jörg Rolf Paul Geiger
Journal:  Elife       Date:  2019-11-19       Impact factor: 8.140

10.  Machine Learning-Based Pipette Positional Correction for Automatic Patch Clamp In Vitro.

Authors:  Mercedes M Gonzalez; Colby F Lewallen; Mighten C Yip; Craig R Forest
Journal:  eNeuro       Date:  2021-07-26
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.